Joon Huang Chuah

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it

Whom Joon Huang Chuah trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ross B. Girshick
2. Kaiming He

Papers from Joon Huang Chuah's perspective

Ordered by how strongly the researchers Joon Huang Chuah trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Going deeper with convolutions
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Structural crack detection using deep convolutional neural networks (2022) — 334 citations
• Transformation of biomass into carbon nanofiber for supercapacitor application – A review (2018) — 168 citations